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Kinase Inhibitor Screening In Self-assembled Human Protein Microarrays
Published on: October 23, 2019
Bioinformatics Tools and Knowledgebases to Assist Generating Targeted Assays for Plasma Proteomics
Yassene Mohammed1,2,3, David Goodlett4,5,6, Christoph H Borchers7,8,9,10
1Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, ZA, Netherlands. y.mohammed@lumc.nl.
Selecting proteotypic peptides for targeted proteomics is simplified by new bioinformatics tools. These resources streamline assay development, reducing experimental steps for plasma protein quantification.
Area of Science:
- Proteomics
- Bioinformatics
- Biotechnology
Background:
- Selecting proteotypic peptides is critical for targeted proteomics.
- This process typically involves complex bioinformatics analysis using various tools and databases.
Purpose of the Study:
- To present web-based resources that automate and simplify proteotypic peptide selection for targeted proteomics.
- To streamline targeted proteomics assay development, particularly for plasma proteins.
Main Methods:
- Introduction of bioinformatics tools: PeptidePicker, PeptidePickerDB, MRMAssayDB, MouseQuaPro, and PeptideTracker.
- Utilizing these tools for developing and documenting targeted proteomics assays.
- Integration of HUPO Human Plasma Proteome Project data to create a new assay database.
Main Results:
- Development of thousands of targeted proteomics assays, with a focus on human and mouse plasma proteins.
- Creation of a new database containing 3.8k targeted assays for known human plasma proteins.
- Demonstration of an integrative approach simplifying assay design and reducing experimental effort.
Conclusions:
- The presented web-based tools significantly streamline targeted proteomics assay development.
- These resources facilitate the quantitative characterization of the plasma proteome.
- Freely accessible tools enable efficient design of targeted proteomic experiments.
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